CN102311039B - Monitoring device - Google Patents
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- CN102311039B CN102311039B CN 201110181446 CN201110181446A CN102311039B CN 102311039 B CN102311039 B CN 102311039B CN 201110181446 CN201110181446 CN 201110181446 CN 201110181446 A CN201110181446 A CN 201110181446A CN 102311039 B CN102311039 B CN 102311039B
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Abstract
The invention provides a monitoring device, which is applied for effective monitor by determining the delay population which is significant for safety management and security. The monitoring device comprises an image acquiring unit (1) for acquiring images adjacent to a monitoring area, a delay detecting unit having a background making part (2), a long-term change extracting part (3), a short-term change extracting part (4) and a short-term change accumulating part (5); a track extracting part (6) for extracting motion track from the short-term changes in the time sequence or from the time sequence storage information extracted from the short-term changes; a population judging part (7) for judging whether the number of detected persons inside the monitoring area is one or more than more according to the delay and motion track generating time and generating places; and a delay warning part (8) for warning after a determination that one person is delayed inside the monitoring area and thus effectively monitoring the person.
Description
Technical field
The present invention relates to a kind of monitor unit, it use to monitor with pick up camera etc. and obtains image in monitor area, and processes backward supervision person etc. at the image that this is obtained and circulate a notice of.
Background technology
Monitor the burden of carrying out the surveillant of safety verification with pick up camera in order to alleviate by visual inspection, the movement of personage when coming the detection accident to occur by photographic images being carried out image recognition and may cause the abnormal movements such as hazardous act of accident, and popularized to the supervisory system that the surveillant gives a warning.
Personage in described abnormal movement is trapped in the abnormal movement of particular place always, for example concerning the supervisory system take safety management as purpose, may mean that the personage is because of accident or the injured state of being unable to stir any more that is in, and concerning the supervisory system take security personnel as purpose, may mean has the people preparing burglary, so be the high abnormal movement of importance degree.
As the technology that detects the delay in monitor area, a kind of supposition technology is disclosed in patent documentation 1, its with near the gangway platform of escalator as monitor area, and infer according to the area of the background difference of the difference component between the frame of the photographic images in 2 moment and monitor area (from the input picture of monitor area and the difference between background image), at above-mentioned difference component and area when large, the passenger who is speculated as on the platform of gangway is many, is in highly crowded state.In this patent documentation 1, these 2 grades in the time of will being divided into the free time according to the degree of congestion that said method is calculated and when crowded, at one's leisure, detection is sitting in the passenger on the platform of gangway or handrail is carried out mischief-making passenger's abnormal movement, and when crowded, owing to thinking that generation can hinder the possibility of the abnormal movement that the passenger passes through low, so switch the content of image recognition, do not carry out the detection of abnormal movement, but detect passenger's traffic volume.
In addition, as the movement that changes to detect the personage by the time dependent of analyzing the image obtain and mobile etc. general technology, also known have by disclosed technology such as non-patent literatures 1, in the escalator field, known have by the disclosed technology of non-patent literature 2, it extracts time and the space characteristics of the image obtain, the action of escalator and personage's active region is separated identify, and detects personage's abnormal behaviour with this.
Technical literature formerly
Patent documentation
The patent documentation 1 open patent 2000-7264 of Japan communique
Non-patent literature
Non-patent literature 1
G.Bradski and J.Davis work, " Real-time recognition of activity using temporal templates ", Third IEEE Workshop on Application of Computer Vision (in December, 1996)
Non-patent literature 2
Village well Thailand is abundant, and Teng Ji is great to extend, the sincere people's work of number well, " detection of the abnormal action of the people in the escalator background of time-based space characteristics ", information processing association of Corporation research report, GVIM, the 164th, pp.251-258 (in September, 2008)
Especially the party concerned except being detained in being detained does not have other people delay with the outside, for example concerning the supervisory system take safety management as purpose, owing to can't looking to succouring the party concerned of accident by people on every side when accident occurs, so degree of risk is high, and concerning the supervisory system take security personnel as purpose, owing to can't looking to criminal offence because have other people sight line to be suppressed on every side, so degree of risk is high, need surveillant's emphasis to monitor.
In addition, in the supervisory system of the movement of adopting non-patent literature 1 or 2 such images to process to detect the personage and movement, even when having occured to be similar to the variation of abnormal movement on image, but as long as in fact there is no the personage in monitor area, supervisory system there is no need to warn.This is because unnecessary warning meeting causes interference to the surveillant.
For these reasons, known preferred in detecting the supervisory system of delay by image recognition, when detecting delay, the number when inferring delay according to 0 people, 1 people or 2 these classification more than the people in monitor area.
Therefore, be applied according to 0 people, 1 people or when 2 more than the people, the occasion of number is inferred in this classification in the technology with patent documentation 1, if adopt the area of the disclosed background difference of patent documentation 1 larger when being judged as the higher benchmark of degree of congestion, in the situation that the such low-angle illumination light of the similar setting sun makes shadow elongated, exist and to increase because of the area of shadow part the problem that produces erroneous judgement.1 people is for example arranged on the platform of the gangway of escalator, and this 1 people's shadow is subject to the impact of this shadow when very long, it is large that the area of background difference becomes, and is actually the free time that the passenger is 1 people, but might be mistaken for crowded.In addition, in the situation that the shadow of the works of handrail etc. is very long, although on the platform of gangway, 1 passenger does not have yet, but because the shadow of the works of handrail etc. makes the area of background difference become large, at this moment, be actually the free time that 1 passenger does not have yet, but might be mistaken for crowded.Therefore, in the disclosed technology of patent documentation 1, the number in monitor area of can't judging rightly is that 0 people or 1 people or 2 are more than the people.
In addition, area that to adopt disclosed another benchmark of patent documentation 1 be the difference between frame is larger when being judged as the higher benchmark of degree of congestion, for example in the situation that a passenger want to get up after falling, because causing the area of the difference between frame, passenger's action becomes large, may be actually the free time of only having a passenger, but be mistaken for crowded situation.In addition, in contrast, in the situation that make numerous passengers to move because of extremely crowded, because passenger's action is little, so the area of the difference between frame narrows down, in fact because there being a lot of personages crowded, but still might be mistaken for the free time.Therefore, when the disclosed technology of patent documentation 1 being applied to number inferring, owing to can't distinguish the many situations of the few situation of passenger and passenger, the number in the monitor area that therefore can't judge rightly is that 0 people or 1 people or 2 are more than the people.
For these reasons, utilizing the technology of patent documentation 1 be difficult to judge rightly number in monitor area is that 0 people or 1 people or 2 are more than the people.
On the other hand, the technology of person recognition technology that above-mentioned non-patent literature 1 and 2 separates as the active region that the personage is moved with escalator etc., it is good technology, but it does not infer such imagination according to 0 people, 1 people or 2 these classification more than the people to the number of the personage in monitor area, does not consider that the number of paying close attention in monitor area reduces the warning when there is no the personage on background image etc. yet.
Summary of the invention
The present invention makes in view of existing problem in existing surveillance technology, main purpose of the present invention is to provide a kind of monitor unit, make it possible to by number being inferred to determine that particularly important number namely only has 1 people's situation concerning safety management and security personnel aspect, thus can be effectively to monitoring in monitor area.
Other purpose of the present invention is to provide a kind of device, and it can accurately infer out the delay that described number is 1 people, and is fit to come according to 0 people, 1 people or 2 these classification more than the people number of presumptive detection object.Above-mentioned purpose of the present invention is described in detail in the explanation of following embodiment.
In order to realize above-mentioned main purpose, monitor unit of the present invention is characterised in that to have: image acquisition unit, and it obtains near the input picture monitor area; Number is inferred the unit, and it is processed the input picture from described image acquisition unit, and is beyond 1 people or 1 people according to the number that the detected object in monitor area is inferred in 0 people, 1 people or 2 these classification more than the people; And being detained the warning unit, it is warned to the outside when being defined as having occured the number of inferring in described monitor area and being 1 people's delay.Thus, can be with the number in monitor area 1 people occasion be that 0 people or 2 occasions more than the people make a distinction, and be to circulate a notice of when only having 1 people's delay being defined as, so can determine to only have the scene of this particular importance of delay of 1 people, and impel surveillant etc. to arouse attention.
At this, the concept of above-mentioned " when being defined as occuring the number of inferring in monitor area and being 1 people's delay; to the outside warning " be with stranded crowd number be 1 people occasion be that 0 people or 2 occasions more than the people make a distinction and circulate a notice of, comprise that number is that 1 people occasion is not in addition warned, perhaps number is also to warn beyond 1 people the time, but the content by changing signal and length etc., perhaps additional specific signal is 1 people with stranded crowd number occasion and stranded crowd number are that 0 people or 2 occasions more than the people make a distinction.
Other features of the present invention relate to for the number of inferring accurately above-mentioned detected object be 1 people situation, be suitable for coming the structure of number of presumptive detection object and the structure of application examples thereof according to 0 people, 1 people or 2 these classification more than the people, these features are described in detail in the explanation of following embodiment.
The invention effect
According to the present invention, owing to can determine that the number in monitor area is 1 people's situation and draws attention to, so can be from the safety management aspect and the security personnel aspect effectively to monitoring in monitor area.
Description of drawings
Fig. 1 is the functional block diagram of the related monitor unit of one embodiment of the invention.
Fig. 2 is the equipment structure chart when one embodiment of the invention are applicable to escalator.
Fig. 3 is the instruction diagram of the related secular variation extraction unit of one embodiment of the invention.
Fig. 4 is the instruction diagram of the related short term variations extraction unit of one embodiment of the invention.
Fig. 5 is the instruction diagram that the related number of one embodiment of the invention is inferred the treatment scheme of unit.
Fig. 6 is the supplemental instruction figure that the related number of one embodiment of the invention is inferred the time relationship of unit.
Fig. 7 is the instruction diagram of the related personage's motion track extracting method of one embodiment of the invention.
Fig. 8 is the instruction diagram of the motion track extracting method of the related shadow part of one embodiment of the invention.
Fig. 9 is the instruction diagram of the related personage's motion track extracting method of one embodiment of the invention.
Figure 10 is the instruction diagram of the related intensive personage's of one embodiment of the invention motion track extracting method.
Figure 11 is the instruction diagram of the picture disply example of one embodiment of the invention related warning unit.
Figure 12 is the supplemental instruction figure of the related short term variations extraction unit of one embodiment of the invention.
Figure 13 is the functional block diagram of the related monitor unit of other embodiment of the present invention.
Figure 14 is the equipment structure chart when other embodiment of the present invention are applicable to escalator.
Figure 15 is the instruction diagram of the surveyed area of other embodiment of the present invention.
Figure 16 is the functional block diagram of the related monitor unit of another embodiment of the present invention.
Nomenclature
1 image acquiring unit
2 background preparing department
3 secular variation extraction units
4 short term variations extraction units
5 short term variations accumulation sections
6 track extraction units
7 numbers are inferred section
8 are detained warning section
9 warning sections
10 control parts
11 detected object information storage parts
12 location information storage parts
101 escalators
103,103a, the 103b pick up camera
110 gangway platforms
113 personages
The specific embodiment
Describe referring to the specific embodiment of accompanying drawing to monitor unit involved in the present invention.In addition, in the present embodiment, describe as an example of occasion that escalator is monitored as monitored object example, but monitor unit of the present invention is not limited in this, can be inside and outside elevator, building etc. any personage of having move and the place be detained in use.
The first embodiment
Fig. 1 is the functional block diagram of the related monitor unit of the first embodiment of the present invention.Fig. 2 is the structure drawing of device when using as the monitor unit of escalator.In the first embodiment, with the gangway platform of escalator as monitor area, the movement that may cause the accident that is involved in by pedal and handrail etc. is regarded in the pedal that moves during with escalator operation and the delay of the personage handrail near as, and with its object as detection.
in Fig. 2, 101 expression escalators, the gangway platform of the bottom of 110 expression escalators, the pick up camera on every side of terrace at entrance 110 is shot in 103 expressions in the visual field from the rear of gangway platform 110, 104 expression image processing apparatus, the control setup of 105 expression escalators 101, 106 expressions by loud speaker with sound or the warning device that gives a warning to the passenger of escalator 101 with the form such as luminous by lamp, 107 expressions are to the monitoring device of surveillant's output image or output sound, the transmitting device of the image of 108 expression long-distance transmissions pick up cameras 103 or the image of image processing apparatus 104, the recording apparatus of the output image of the input picture of pick up camera 103 or image processing apparatus 104 is recorded in 109 expressions continuously.Pick up camera 103 not only can use the camera head of visible light, also can use near infrared camera head etc. to be used for obtaining near the device of the two dimensional image gangway platform 110 and gangway platform 110.
Fig. 1 means the diagram of block of the concrete function of image processing apparatus 104.In Fig. 1, the image that obtains from image acquiring unit 1 is by inferring section 7 by background preparing department 2, secular variation extraction unit 3, short term variations extraction unit 4, short term variations accumulation section 5, track extraction unit 6, number and be detained the image processing apparatus 104 that warning section 8 consists of and process, and is output to warning section 9 (corresponding with the warning device 106 in Fig. 2) and control part 10 (corresponding with the control setup 105 in Fig. 2).
In addition, image processing apparatus 104 is except by the computer realization that is arranged on the regulation in housing, as long as can be connected with each function square of pick up camera 103 and control setup 105, warning device 106, monitoring device 107, transmitting device 108 and recording apparatus 109, just can with control setup 105, warning device 106, monitoring device 107, transmitting device 108 and recording apparatus 109 in signal processor unit share the function of repertoire or a part.
In Fig. 1, detected object information storage part 11 and location information storage part 12 are arranged on the storage part in image processing apparatus 104, be used for being stored in signal that image acquiring unit 1, background preparing department 2, secular variation extraction unit 3, short term variations extraction unit 4, short term variations accumulation section 5, track extraction unit 6, number infer section 7 and be detained each function block of warning section 8 etc. process in required data.Detected object information storage part 11 is used for keeping the height of detected object in the space information relevant with size with width etc. and information of moving velocity etc.Location information storage part 12 is used for keeping the information in the zone on the input picture of pick up camera 103, and (for example which zone on input picture is corresponding with the gangway platform, which zone is corresponding with pedal, which zone is set as the information of surveyed area etc.) and the image that each pick up camera 103 photographs in each place is processed detected object on the input picture of required threshold value and pick up camera 103 height and the information of width and moving velocity etc. on image.
In Fig. 1, image acquiring unit 1 is configured to obtain continuously from pick up camera 103 input picture of each frame.In addition, reproduce also by the image recording media to pick up camera 103 and can realize equal function.Again, the image that is obtained by image acquiring unit 1 is processed and is stored in background preparing department 2, secular variation extraction unit 3, short term variations extraction unit 4 and short term variations accumulation section 5, and these parts consist of the unit of the delay that detects the detected object in monitor areas.
Below describe by the contents processing of each function block in ordered pair Fig. 1.
Short term variations extraction unit 4 is extracted short term variations part on image as short term variations from the difference of the input picture in 2 moment [T-Δ T, T].The moment T-Δ T of Fig. 4 (a) and Fig. 4 (b) expression short term variations extraction unit 4 and the example of the input picture at T place constantly, 111 expression handrails, 112 expression pedals, 113 expression personages, arrow 117 represents personages 113 moving direction.Between Fig. 4 (a) and Fig. 4 (b), personage 113 has moved to the distance of pedal 112 walkings a little from the below towards the top in input picture.Short term variations extraction unit 4 is extracted the difference (short term variations) that the variation more than defined threshold has occured in brightness from the image in 2 moment take pixel as unit.In addition, short term variations extraction unit 4 is also extracted the join domain of difference from described short term variations.
In Fig. 4 (c), example as the extraction result of short term variations extraction unit 4, expression is extracted difference and an example of the extraction result that obtains from Fig. 4 (a) and Fig. 4 (b), the 132nd, the join domain of the difference that causes because of moving of pedal 112, the 133rd, the join domain of the difference that causes because of moving of personage 113.The profile of this join domain 133 and the movement of personage 113 on picture between 2 moment [T-Δ T, T] is suitable.In the example of Fig. 4 (c), due to personage 113 in input picture below the picture towards above move, so join domain 133 has the thickness suitable with amount of movement in the vertical.As shown in the example of Fig. 4 (c), short term variations extraction unit 4 is extracted join domain 133 from short term variations, and extracts circumscribed rectangle 135, the representative edge 136 of circumscribed rectangle 135 and the representative point 137 of representative edge 136 of join domain 133 from join domain 133.
In Fig. 4 (c), when join domain 133 has comprised personage 113 whole, as shown in Figure 2, the visual angle of the pick up camera 103 of shooting terrace at entrance 110 from oblique rear, the base of circumscribed rectangle 135 is on gangway platform 110, so with the base of representative edge 136 as circumscribed rectangle 135.The width of this representative edge 136 and personage's 113 width is suitable.Representative point 137 is center-points of representative edge 136, and is suitable with the center of the left and right at personage 113 foot place.
In addition, because personage 113 shape is longitudinal, so on picture from below towards above when moving, 2 moment [T-Δ T, T] between personage 113 movement in the horizontal little, therefore, at 2 moment [T-Δ T, T] input picture between when obtaining difference, as shown in Fig. 4 (d), in personage 113 side, the join domain of difference such as 133a, shown in 133b, personage 113 upper and lower can produce fracture sometimes.
In the situation that the join domain of the difference of the personage 113 shown in Fig. 4 (d) has produced fracture, if pass through from each join domain 133a, 133b extracts circumscribed rectangle 135a, 135b, representative edge 136a, 136b and representative point 137a, 137b can extract from a side join domain the coordinate of personage 113 foot at least.
On picture during along transverse shifting, join domain 133 might produce fracture in the left and right, at this moment, obtain respectively circumscribed rectangle, representative edge and representative point for each join domain of fracture too as personage 113.
In addition, in join domain 133, small interference the rocking of the dome illumination that occurs sometimes as reflect on gangway platform 110, so, when circumscribed rectangle 135 in the vertical or length transversely set less than the size of the personage on the input picture of estimating pick up camera 103 threshold value the time, short term variations extraction unit 4 should abandon as interference by circumscribed rectangle 135.
In the above description, brightness to short term variations extraction unit 4 by the same pixel from the input picture in 2 moment is extracted difference and is extracted join domain 133 and be described as the method for short term variations, but it is an example, also can extract respectively from the input picture in 2 moment the characteristic quantity of the characteristic quantity of the such color of RGB and HSI or the characteristic quantity at edge etc., and extract join domain 133 from the difference of the characteristic quantity of same pixel.
In addition, extracting method as join domain 133, except the method for the variation of the brightness of the same pixel of using 2 moment or characteristic quantity, can also adopt the method for extracting the dynamic part on input picture according to mobile vector to extract join domain 133.In addition, in short term variations extraction unit 4, except the method for the input picture that uses 2 moment, the method that can also adopt the input picture in 2 such a plurality of moment more than the moment of from non-patent literature 1 disclosed Motion History Image to extract dynamic part is extracted join domain 133.
Short term variations extraction unit 4 is carried out above-mentioned functions repeatedly with the treatment cycle of regulation.Then, the representative points 137 that extract at each treatment cycle according to time series storage short term variations extraction unit 4 of short term variations accumulation section 5.
Then, the personage 113 of background preparing department 2 with than abnormal movement time the delay time length is the cycle background image updating fully slowly, generates thus the background image that does not have personage 113.Method for making as the background image of this background preparing department 2, for example can take to collect the image of the little frame of the variation of short term variations extraction unit 4, extract the method for the median of each pixel collection image in specified time from current time, but the method for making of the background image of this background preparing department 2 is not limited in this example.
In secular variation extraction unit 3, as secular variation, the difference of obtaining between input picture and background image is the background difference for the input picture that extracts each frame and the changing unit between background image.In addition, in secular variation extraction unit 3, obtain the join domain of the background difference on gangway platform 110 according to the background difference of obtaining.
Fig. 3 is the instruction diagram of secular variation extraction unit 3, an example of the background image that Fig. 3 (a) expression is kept by background preparing department 2,111 expression handrails, 112 expression pedals.Fig. 3 (b) is the example of input picture, 113 expression personages, and this personage 113 has fallen down because not stepping on pedal 112.Because this personage 113 falls down near pedal 112, thus the pedal 112 of the lower end of its shoes and trousers in may being moved be involved in, thereby cause danger.Brightness on same pixel between Fig. 3 (c) presentation graphs 3 (a) and Fig. 3 (b) changes the part more than the threshold value of regulation, shows the long-term difference (background difference) in input picture.In Fig. 3 (c), the 120 expression surveyed areas corresponding with gangway platform 110, the join domain of the difference that produces is moved in 122 expressions between input picture and background image because of pedal 112, the join domain of the personage's that 123 expressions are fallen down difference.
In secular variation extraction unit 3, according to described secular variation, input picture and the difference between background image obtained in surveyed area 120 are the join domain of background difference, and the area in join domain is greater than or equal to the personage's that imagination detected object information storage part 11 keeps size and the join domain of the threshold value set is chosen as the actv. join domain, obtain circumscribed rectangle according to this actv. join domain.When input picture is image shown in Fig. 3 (a), join domain 123 as effective join domain, is obtained the circumscribed rectangle 125 of join domain 123.In addition, in secular variation extraction unit 3, with centre coordinate and the length in length and breadth Information preservation as the place of the circumscribed rectangle 125 of expression.In secular variation extraction unit 3, when extracting the such effective join domain of a plurality of join domains 123, extract the such circumscribed rectangle of a plurality of circumscribed rectangles 125 again.
And, in secular variation extraction unit 3, extract one when above at the circumscribed rectangle 125 that extracts with said method, the extraction of circumscribed rectangle is kept constantly.If when more than one circumscribed rectangle 125 being detected constantly in identical place, be judged as delay has occured, and the information in generation period that will represent this delay is as being detained the Information preservation in period.At this, this delay information in period such as the length that comprises the delay zero hour and the finish time or the delay zero hour and delay time length etc. can determine to be detained the zero hour of generation and the information of length.In addition, secular variation extraction unit 3 also keeps being detained the information that the place occurs.
In Fig. 3, because moving the difference 122 that produces, pedal is in beyond surveyed area 120, so do not affect the extraction of circumscribed rectangle 125.Therefore, also the computer capacity of the difference of secular variation extraction unit 3 can be limited in surveyed area 120.
In the above description, secular variation extraction unit 3 is from the brightness change detection join domain 123 of the same pixel of background image and input picture, and with it as secular variation, but it is an example, also can extract respectively from background image and input picture the characteristic quantity of RGB and the characteristic quantity of the such color of HSI or the characteristic quantity at edge etc., and extract join domain 123 in the difference of the characteristic quantity from same pixel.In addition, except using an image as a setting the method for image, the image that can also adopt the brightness that will represent with the parameter of probability distribution each pixel is image as a setting, and calculating the background subtraction timesharing, calculate the method that this parameter with probability distribution represents the difference of the background image of brightness of each pixel and input picture.
Then, infer in section 7 in number, by treatment scheme shown in Figure 5, come number on presumptive detection zone 120 according to 0 people, 1 people or 2 these classification more than the people.The supplemental instruction figure of the time relationship when below suitably quoting treatment step S1~S7 of Fig. 5 and number shown in Figure 6 and inferring describes its contents processing.Fig. 6 (a) (b), (c) has 0 people, 1 people or 2 occasions more than the people corresponding respectively with in surveyed area.
In S1, number is inferred section 7 according to the extraction result of the background difference of secular variation extraction unit 3 or the extraction result of delay, and it is more than time τ that the minimum time length that whether has continued to be detained is detained in judgement.Be judged as be detained there is no time length τ more than when (being judged as NO in S1), regard the delay that personage 113 does not occur on surveyed area 120 as, and number be estimated as 0 people (S5).
In S1, when delay has continued that the time, τ was above, enter into treatment step S2.The time relationship of this moment is Fig. 6 (a), (b), and the some time relationships in the time relationship shown in (c).To be detained and be set as T2 the zero hour, from moment T2 through moment after time τ when being set as constantly T3, exist during the T3 constantly at moment T2 be detained duration 201.
In S2, number is inferred the motion track whether section 7 judgement had outside surveyed area 120 (end of surveyed area 120) to move towards the delay place of S1 before soon then carving T2.
The extraction of the motion track that uses in the judgement of S2 in addition, is undertaken by track extraction unit 6.When the personage 113 that will estimate according to the length of surveyed area 120 and personage's 113 minimum moving velocity was set as time π by required the longest of surveyed area 120 by the time, track extraction unit 6 was than the moment T1 of the Zao time π of moment T2 and the described motion track of search between T2 constantly.
Below be shown in the occasion of falling down on gangway platform 110 and being detained moment T3 from moment T2 under this state take personage 113 as Fig. 3 (b) extracting method of the motion track of track extraction unit 6 be described as example.With Fig. 3 (a) image as a setting, during as input picture, secular variation extraction unit 3 is extracted personage 113 join domain 123 and the circumscribed rectangle 125 of join domain 123 from secular variation (background difference) with Fig. 3 (b).Fig. 7 (a) and Fig. 7 (b) expression during at moment T2 and till the moment Ta between T1 plays T2 constantly constantly, personage 113 from gangway platform 110 outer towards direction walking shown in arrow 117 to pedal near the situation 112 time.
Fig. 7 (a) to Fig. 7 (b) during, short term variations extraction unit 4 is extracted short term variations at each cycle of operations, the seasonal effect in time series output (representative point 137) from short term variations extraction unit 4 of short term variations accumulation section 5 each cycle of operations of accumulation.Track extraction unit 6 is extracted motion track thus by searching for corresponding point in the time series of tracing back to the representative point 137 of time from be accumulated in short term variations accumulation section 5 before T2 constantly.Searching method as corresponding point, can adopt the neighbor point of the representative point 137 in adjacent 2 moment of search, and the grid deviation of 2 representative points 137 on image that will be the most contiguous close at the method that the corresponding point in the permissible error scope are joined to one another, but the searching method of corresponding point is not limited in this.Fig. 7 (c) shows track extraction unit 6 and extracts Fig. 7 (a) to the example of the motion track 153 of the representative point 137 between Fig. 7 (b).
In the above description, the extracting method when track extraction unit 6 is extracted motion track 153 from the time series of representative point 137 is illustrated, but track extraction unit 6 also can be obtained motion track 153 according to the data beyond representative point 137.As an example, a kind of method is disclosed in non-patent literature 1, it is by 2 moment [the T-Δ T of accumulation as join domain 133, T] personage 113 variation (for example difference between frame) determine the zone of moving at the in setting time object, motion track 153 also can be obtained by the method, and is not limited in above-described embodiment.At this moment, short term variations accumulation section 5 also can be arranged to accumulate the time series of the variation (for example difference between frame) of short-term, replaces with this time series that accumulates representative point 137.
For example, as shown in Figure 7, at the moment Ta more late than moment T1 during the T2 constantly, personage 113 from the outer walking of gangway platform 110 near pedal 112, at moment T2 during the T3 constantly, as shown in Figure 3, near the scene that personage 113 is detained pedal 112, become the time relationship shown in Fig. 6 (b) this moment, during the T2 constantly, as Fig. 3 and shown in Figure 7, motion track 153 reaches circumscribed rectangle 125 from surveyed area 120 extensions at moment T1, so, be judged as YES in S2.In Fig. 6 (b),, exist from surveyed area 120 extensions and reach between the emergence period of being detained the motion track 153 till the place 202 during the T2 constantly at moment Ta.
On the other hand, as Fig. 8 (a) with (b), the state on gangway platform 110 of extending to from handrail 111 at shadow 115 is the scene that moment T2 continues during the moment T3 always, even trace back to T1 constantly from moment T2, because near the fluctuation of the lighting condition escalator 101 makes shadow 115 occur rocking, as shown in Fig. 8 (c), track extraction unit 6 can only be extracted motion track 155 seldom, perhaps extracts less than motion track fully.Therefore, be judged as NO in S2, number is inferred section 7 stranded crowd number in gangway platform 110 is estimated as 0 people (S5).At this moment, time relationship is the time relationship shown in Fig. 6 (a).
When being judged as YES in S2, number is inferred section 7 and think to have at least more than one personage 113 to enter in gangway platform 110 at moment T1 during moment T2, and is trapped in gangway platform 110 during moment T3 at moment T2, and enters into S3.
After this, in S3, whether number is inferred section 7 judgement the motion track 153 of the circumscribed rectangle 125 from surveyed area 120 extensions to any more than 2 during the moment T2 at moment T1.If have more than 2, being judged as at moment T1 has the personage more than 2 to enter in gangway platform 110 during moment T2, and be trapped in gangway platform 110 during T3 constantly at moment T2, number is inferred the numbers that section 7 will be trapped in gangway platform 110 and is estimated as 2 people above (S7).When being judged as NO, enter into S4 in S3.
Then, in S4, whether number is inferred section's 7 judgements has motion track (the 2nd personage) to enter into surveyed area 120 at moment T2 outside surveyed area 120 during moment T3.Fig. 9 (a) and (b) be illustrated in constantly that T2 has the 2nd personage 114 to enter into the example of gangway platform 110 outside gangway platform 110 during moment T3.in S4, the same with S2, the time series search motion track of the representative point 137 of track extraction unit 6 during from moment T2 to moment T3, as long as find the motion track 154 that enters into the 2nd personage 114 in surveyed area 120 outside surveyed area 120 such shown in Fig. 9 (c), be judged as YES at S4, regard as except enter into the personage 113 in surveyed area 120 during the T2 constantly at moment T1, there are the 2nd personage 114 or more personage to enter in surveyed area 120 at moment T2 during moment T3, number is inferred section 7 and is estimated as number at 2 more than the people (S7).The time relationship of this moment is for example the time relationship shown in Fig. 6 (c).In Fig. 6 (c), 203 and emergence period of personage 113 motion track 153 between quite, 204 with emergence period of personage 114 motion track 154 between suitable.
On the contrary, when S4 was judged as NO, regarding as at moment T2 did not have new personage 114 to enter during T3 constantly, and number is inferred the numbers that section 7 will be trapped in gangway platform 110 and is estimated as 1 people (S6).
Having illustrated in surveyed area 120 in Fig. 6 (c) has the example of 2 occasions more than the people, but is not limited in this, also has other pattern.For example, as illustrated in S3, there are 2 personages more than the people to enter in moment T1 is during the T2 constantly, and in the situation that moment T2 is detained during moment T3, the motion track of 2 person-portions (but exist) the such situation that also might occur between emergence period of the motion track in Fig. 6 (c) only existing in 203,204 203.Also can be judged as 2 more than the people by S3 this moment.
Below explanation is in the situation that escalator 101 is very crowded how to judge in Fig. 5.Figure 10 (a) and (b) in illustration the very crowded scene of escalator 101, moment T2 to constantly 3 during, intensive personage 143 loiters on gangway platform 110, and pulsation ground advances towards pedal 112 lentamente on the direction shown in arrow 117.At Figure 10 (a) with in the scene (b), owing to having intensive personage 143 in the broad scope on gangway platform 110 always, so as shown in Figure 10 (c), the circumscribed rectangle 175 in surveyed area 120 of the join domain 173 that is extracted from secular variation by secular variation extraction unit 3 occupies the most scope of surveyed area 120, and the S1 of Fig. 5 is judged as YES.
Below S2 is described.At first, at moment T1 during the T2 constantly, the same with the occasion (b) with Figure 10 (a), intensive personage 143 advances to pulsation on gangway platform 110 always, so, during the T2 constantly, short term variations extraction unit 4 is extracted not shown join domain 133 and representative points 137 at moment T1.At this moment, the motion track that extracts from intensive personage 143, in most of the cases, because the personage in intensive personage 143 repeatedly moves and stops, so join domain 133 is desultory shape, the motion track 163a of picture Figure 10 (d), 163b, 163c form short and small part shape like that.In addition, when the personage in intensive personage 143 moved simultaneously, join domain 133 became one near surveyed area 120, made to extract representative point 173.In S2, if the state capture that can move according to the personage of the boundary vicinity of surveyed area 120 to the moving track 163a of image drift such enter into the interior motion track of surveyed area 120 from surveyed area 120 outside, illustrate that circumscribed rectangle 175 has occupied the vast scope of surveyed area 120, motion track 163a has extended to circumscribed rectangle 175 always, at this moment, be judged as YES in S2, and enter into S3.On the contrary, state according to the personage's of the boundary vicinity of surveyed area 120 movement, near the central authorities that only are present in surveyed area at motion track in S2 as 163b or 163c or when there is no motion track fully, be judged as NO in S2, number is inferred section 7 and is judged to be 0 people (S5).
When being judged as YES in S2, after this in S3, if exist in moment T1 is during the T2 constantly image drift more than 2 move track 163a such reach motion track in surveyed area 120 from surveyed area 120 extensions, be judged as YES in S3, number is inferred section 7 and is judged to be number at 2 more than the people (S7).When being judged as NO in S3, after this in S4, if exist at least in moment T2 is during the T3 constantly the moving track 163a of 1 image drift such reach motion track in surveyed area 120 from surveyed area 120 extensions, be judged as YES in S4, number is inferred section 7 and is judged to be 2 people of existence above (S7).At this, if the minimum time length that will be detained is the value that time τ is set as abundant length, can extract effectively the moving track 163a of image drift such reach motion track in surveyed area 120 from surveyed area 120 extensions, thereby can be suppressed at be judged as in S4 no.
As mentioned above, infer in section 7 in number, for intensive personage 143, can occur it is mistaken for 0 people's situation in S2, but can not occur in the situation that it is mistaken for 1 people in S4 and gives a warning.In addition, by will be the longest by the time be time π to be set as with the minimum time length that is detained be the roughly the same length of time τ, can the inhibition number infer section 7 and intensive personage 143 be mistaken for the generation of 0 this phenomenon of people in S2.
Be that time τ estimates to the minimum time length of above-mentioned delay in advance.For example, to see the delay of the normal movement wrist-watch etc. judging in S1 not to be to stop as personage 113, but the required time of the delay of the abnormal movement as falling down is set as time τ 1, when will be in S3 being set as time τ 2 from the time that intensive personage 143 extracts the required abundant length of motion track 163a effectively, the maxim max (τ 1, and τ 2) of time τ 1 and time τ 2 is set as time τ.The value of time τ is stored in location information storage part 12.The longest by the time be time π can by with personage 113 the minimum moving velocity in the space calculate except the length of gangway platform 110 in the space, perhaps remove the length of surveyed area 120 on image with personage 113 at the minimum moving velocity on image and calculate.
Below track extraction unit 6 is carried out supplemental instruction.When the join domain of the difference of the personage 113 shown in Fig. 4 (d) fragments into 133a or the such part more than 2 of 133b, track extraction unit 6 is by coupling together the most contiguous point from the seasonal effect in time series data of representative point 137a, the 137b of join domain 133a, 133b, do not have the occasion of fracture the same with the join domain of the personage 113 shown in Fig. 4 (c), can extract motion track 153.At this moment, may extract the motion track 153 more than 2 from the time series of a plurality of representative point 137a, 137b, but by both motion track 153 of distance in the permissible error scope of setting according to personage's size are merged into a motion track, can extract a motion track from 1 personage 113.
After this, being detained 8, warning section infers section 7 in number and has been estimated as 1 personage 113 and is trapped in surveyed area 120 and just gives a warning when interior, that is to say, be defined as not being that 0 people neither 2 more than the people, but during 1 people's delay, give a warning at least one party of warning section 9 and control part 10.
Warning section 9 after be detained warning section 8 and receive warning, the lamp flicker by making warning device 106 or make loud speaker output sound etc., to cause the attention of being detained the personage, the perhaps requirement that proposes to succour of the personage around the escalator 101.And, after be detained warning section 8 and receive warning, show the input picture of pick up camera 103 in warning section 9 in the picture of monitoring device 107, perhaps send information from transmitting device 108 to external device (ED), perhaps control recording apparatus 109 and record a video.
At this, also can make in the cycle that warning section 9 sets up to stipulate the such picture effect of input picture flicker of pick up camera 103, make the surveillant can notice the delay that occurs.In addition, describe on the input picture that warning section 9 also can be arranged on the picture that is presented at monitoring device 107 and show circumscribed rectangle 125 and motion track 153 etc.The surveillant is from where the entering of gangway platform 110 by observing motion track 153, can easily grasping personage 113, and how personage 113 moves on gangway platform 110.
When warning section 9 has carried out image displaying on picture, the input picture of the image of describing or the image of describing and pick up camera 103 is outputed in monitoring device 107 or transmitting device 108 or recording apparatus 109 together.In addition, in the apparatus structure of Fig. 2, as long as at least more than one the device that warning section 9 has in warning device 106, monitoring device 107, transmitting device 108 and recording apparatus 109 just can practical function.
At last, after be detained warning section 8 and receive warning, reduce the running velocity of escalator 101 at control part 10, escalator 101 is slowly stopped, preventing from thus being detained the personage and have an accident, the infringement when perhaps alleviating accident and occuring.
According to above-mentioned functions, in this first embodiment, delay on gangway platform 110 is detected, and infer number on gangway platform 110 with 0 people, 1 people or 2 these classification more than the people, give a warning when only the number on gangway platform 110 has occured is 1 people's delay, perhaps give a warning in the mode of giving high importance degree as 1 people's delay to the number on gangway platform 110.And in this first embodiment, number is inferred section 7 according to 0 people, 1 people or 2 these classification more than the people, infers number by the method beyond the treatment scheme of Fig. 5, also can bring into play same effect.
In the first embodiment, in the situation that number shown in Figure 5 has been omitted S3 and S4 in inferring the treatment scheme of section 7, can be according to the judged result of S1 and S2, infer number according to 0 people (S5) and 1 people (S6) or 2 above (S7) such dichotomies of people.Adopting described 0 people and 1 people or 2 more than the people during such classification, can be when being detained sustainable existence (judgment result is that of S1 is), it is (S5) that is caused by the objects such as shadow such as shown in Figure 8 beyond personage 113 that judgement is detained, (S6 or the S7) that is still caused by personage 113.Carry out number when inferring according to described 0 people and 1 people or 2 dichotomies such more than the people, have and to suppress to be detained the effect that 8 pairs of delays that caused by shadow 115 objects such as grade beyond personage 113 of warning section give a warning in the monitor unit that delay is given a warning.In addition, infer section 7 according to 0 people and 1 people or 2 dichotomies such more than the people in number, when the method beyond the treatment scheme of employing Fig. 5 is inferred number, also can bring into play same effect.
Again, in the first embodiment, when being detained sustainable existence (judgment result is that of S1 is), number shown in Figure 5 infer omit S2 in the treatment scheme of section 7 and be the occasion that enters into S3 when being at S1, be judged as NO but under the occasion and other occasions in addition that S4 is judged as YES in occasion that S3 is judged as YES, at S3, can infer number according to 0 people (S5) or 1 people (S6) and 2 above (S7) such dichotomies of people.When carrying out inferring of number according to described 0 people or 1 people and 2 dichotomies such more than the people, in the situation that be detained sustainable existence (judgment result is that of S1 is), can judge delay is (S7) that is caused by intensive personage 143 shown in Figure 10, or caused by other objects (S5 or S6) beyond intensive personage 143.When adopting described 0 people or 1 people and 2 above such dichotomies of people, having can be by the monitor unit that the delay that causes because of abnormal movement is given a warning, in the situation that the passenger of escalator 101 many (intensive personage 143 having occurred) but abnormal phenomenon not, suppress to be detained the effect that warning section 8 gives a warning.In addition, infer section 7 according to described 0 people or 1 people and 2 dichotomies such more than the people in number, when the method beyond the treatment scheme of employing Fig. 5 is inferred number, also can bring into play same effect.
In the first embodiment, number is inferred section 7 and is had not shown movement judging part, when delay has occured, the movement judging part according to from described monitor area outside to motion track 153 or the position of described motion track 153 and secular variation or the location information of described motion track 153 and circumscribed rectangle 125 in delay place, judge the kind of movement of the detected object (personage 113) of delay.Be detained the judged result that warning section 8 also can be arranged to according to the movement judging part, carry out the control such as rendering image in the picture output of warning section 9 etc.Figure 11 (a) is illustrated in and is detained warning section 8 and has extended near pedal 112 according to motion track 153, and circumscribed rectangle 125 is judged as personage 113 in the situation that movement has occured to fall down near pedal 112 near these situations of front that extended to gangway platform 110 pedal 112, near the example when in picture output 301, output represents the character string 311a of the content that the personage falls down pedal.In addition, Figure 11 (b) is illustrated in and is detained warning section 8 and has extended near handrail 111 according to motion track 153, circumscribed rectangle 125 covers on handrail 111 these situations and is judged as and personage 113 has occured handrail 111 is carried out in the situation of mischief-making movement, the example of output expression personage when handrail being carried out the character string 311b of mischief-making content in picture output 301.In addition, the 312nd, the example of reminding the statement that the surveillant noted, its content are " nobody, danger " on every side.The statement of 312 character string " 1 people, danger " is an example just, also can show other character string.Again, at Figure 11 (a) with (b), the inscape beyond character string 311a and character string 311b be circumscribed rectangle 125, motion track 153 and character string 312 not necessarily, can omit.
In addition, in the first embodiment, be detained warning section 8 and can also be arranged in when giving a warning, additional importance degree in warning, infer in number the additional high importance degree of occasion that section 7 is estimated as 1 people, infer section 7 in number and be estimated as the additional low importance degree of 2 occasions more than the people.When being detained 8 pairs of additional importance degrees of warning of warning section, warning section 9 perhaps is controlled to warning device 106 and does not export the voice output of loud speaker and the flicker pattern of indicator lamp when importance degree is low to warning device 106 indications and the voice output of the high or low corresponding loud speaker of importance degree and the flicker pattern of indicator lamp.In addition, when being detained 8 pairs of additional importance degrees of warning of warning section, 9 pairs of warning devices 106 of warning section are controlled, and make control setup 105 move control according to importance degree high or low, perhaps only when importance degree is high, the operation of escalator 101 are controlled.
In addition, when being detained 8 pairs of additional importance degrees of warning of warning section, warning section 9 comes the content of the character string 312 in image switching output 301 according to the height of importance degree, perhaps only carry out image displaying at importance degree Gao Shicai.
In the first embodiment, short term variations extraction unit 4 also can be arranged to representative edge 136 according to join domain 133 and be closed in surveyed area 120 or do not closed at and judge in surveyed area 120 that the personage 113 who has extracted join domain 133 is at the inboard of gangway platform 110 or in the outside.For example, the very long personage 113p of shadow has been shown in Figure 12 (a) has passed through the example on the side of gangway platform 110 along the direction shown in arrow 117p, in Figure 12 (b), 133p is illustrated in the join domain that is extracted by short term variations extraction unit 4 in the situation shown in Figure 12 (a), 135p represents the circumscribed rectangle of join domain 133p, 136p represents the representative edge of circumscribed rectangle 135p, and 137p represents the representative point at the center of representative edge 136p.In addition, personage 113q has been shown along the example of the direction shown in arrow 117q by the front side of gangway platform 110 in Figure 12 (c), in Figure 12 (d), 133q is illustrated in the join domain that is extracted by short term variations extraction unit 4 in the situation shown in Figure 12 (c), 135q represents the circumscribed rectangle of join domain 133q, 136q represents the representative edge 136q of circumscribed rectangle 135q, and 137q represents the representative point at the center of representative edge 136q.Due to personage 113p and personage 113q all in the outside of gangway platform 110, so representative edge 136p and representative edge 136q have all exceeded surveyed area 120 widely.On the other hand, when personage 113 was shown on gangway platform 110 as Fig. 4 (c), representative edge 136 was closed in the scope of gangway platform 110.Therefore, short term variations extraction unit 4 can be closed in surveyed area 120 or do not closed at according to representative edge 136 and be judged in surveyed area 120 that the personage 113 who has extracted join domain 133 is at the inboard of gangway platform 110 or in the outside.
In the first embodiment, be stored in short term variations accumulation section 5 as representative point 137 if track extraction unit 6 is present in the representative point 137p that extracts in personage beyond the platform of gangway and representative point 137q, track extraction unit 6 may the personage 113 from gangway platform 110 outside be extracted the motion tracks 153 of mistakes.Therefore, abandon representative point 137 when representative edge 136 has exceeded surveyed area 120 if short term variations extraction unit 4 is arranged in, the representative point 137 that can prevent the personage 113 that gangway platform 110 is outer runs up in short term variations accumulation section 5.Again, when short term variations accumulation section 5 has accumulated short term variations self, short term variations extraction unit 4 can discard the short term variations corresponding with the figure picture that is present in gangway platform 110 outer (surveyed area 120 is outer), thereby can prevent from it is accumulated in short term variations accumulation section 5.
In the first embodiment, as long as pick up camera 103 can photograph the near zone of gangway platform 110 in its visual field, also can be suitable for as the pick up camera 103b in Fig. 2 near the condition that arranges of taking directly over gangway platform 110 or shoot near terrace at entrance 110 the condition that arranges from oblique the place ahead of gangway platform 110 as the pick up camera 103c Fig. 2.
In addition, what make that pick up camera takes near directly over gangway platform 110 as pick up camera 103b, condition is set, almost cannot see personage 113 side on input picture, thus personage 113 in the vertical length and the input picture of pick up camera 103 very large difference is arranged.Therefore, monitor unit is being arranged in a plurality of places as pick up camera 103,103b, when 103b monitors with different visual angles like that, size due to the personage 113 on input picture on image and the size of moving velocity and surveyed area 120 can change in each place, so also can be arranged in the information at pre-stored each visual angle in location information storage part 12, and coordinate the visual angle that arranges of pick up camera 103 to come handover information.Perhaps also can be arranged on monitoring device 107 user interface is set, obtain the information relevant with the visual angle of pick up camera 103 from the surveillant, according to the information relevant with the visual angle of obtaining from the surveillant, the information in location information storage part 12 is switched or finely tuned.
In the first embodiment, background model by the time and space feature shown in non-patent literature 2 is learnt in advance to the action of the such moving part of pedal 112, join domain 132 in short term variations extraction unit 4 shown in Fig. 4 (c) and the join domain 122 in the secular variation extraction unit 3 shown in Fig. 3 (C) are judged as the constant variation that is caused by pedal 112, and it is abandoned as N/R information, can suppress thus it is extracted as difference.When being applied in the dynamic background model of described space time slope on short term variations extraction unit 4, also can extract motion track 153 personage 113 under the occasion of reverse walking on pedal 112, when personage 113 enters gangway platform 110 from the pedal 112 of descending escalator 101, can extract motion track 153.
In addition, in secular variation extraction unit 3, can extract the circumscribed rectangle 125 of the part that exceeds from gangway platform 110 that comprises join domain 123.As long as can extract the circumscribed rectangle 125 that comprises the part that exceeds from described gangway platform 110, when the personage 113 shown in Figure 11 (b) exceeds from gangway platform 110, also can extract circumscribed rectangle 125 in the mode that covers personage's 113 whole bodies, make warning section 9 easy rendering images.
The second embodiment
Figure 13 is the functional block diagram of the second embodiment of the present invention.In Figure 13, image acquiring unit 1, track extraction unit 6, number infer section 7, be detained warning section 8, warning section 9, control part 10, detected object information storage part 11 and the location information storage part 12 performance functions identical with the first embodiment.Apparatus structure example when Figure 14 represents to be applicable to escalator.
As shown in figure 14, sensor 203 is can detect according to specific measuring method to have or not personage 113, and the sensor of the information that output is relevant near the place of personage 113 gangway platform 110, its sensing range covers at least a portion on gangway platform 110, and the cycle of operations output signal to stipulate.
In Figure 13, detecting means 23 obtains signal with the cycle that is taken into of regulation from sensor 203, and at least one party in secular variation extraction unit 3 and short term variations extraction unit 4 exports.Measuring method as sensor 203, can list the range information and the configuration information that record according to by laser radar or millimeter wave radar etc., to start at from ground the object with specified altitude extracts as personage 113, determine simultaneously the method in personage 113 place according to the range information that records, perhaps detect personage 113 by the heat sensitive sensor with orientation from the temperature section suitable with body temperature, and definite method that detects the place, but measuring method is not limited in these examples.Again, sensor 203 comprises the pattern identification that detects personage 113 and definite its position as face recognition from an input picture.When sensor 203 adopts pattern identification, the input that the input picture of pick up camera 103 can be processed as signal.
In the functional structure of Figure 13, detecting means 23 will be outputed to by the secular variation in the detected personage's 113 of sensor 203 detection information in secular variation extraction unit 3 and/or the short term variations in personage 113 detection information will be outputed in short term variations accumulation section 5.
Secular variation extraction unit 3 is extracted secular variation and/or is received secular variation from detecting means 23 by the method for embodiment 1.In a second embodiment, when secular variation extraction unit 3 adopts the method for described the first embodiment to extract secular variation, arrange background preparing department 2 the same as the first embodiment.
Short term variations accumulation section 5 receives the short term variations of the method acquisition of adopting the first embodiment and/or receives short term variations from detecting means 23.In a second embodiment, when short term variations extraction unit 4 adopts the method for described the first embodiment to extract short term variations, arrange short term variations extraction unit 3 the same as the first embodiment.
As mentioned above, in a second embodiment, except the secular variation and short term variations that can extract the personage 113 that the method that adopts the first embodiment extracts, can also be from the signal extraction personage's 113 of sensor 203 secular variation and/or short term variations.for example, when pick up camera 103 is the pick up camera of visible light, if strong reflection is carried out to exterior light in the specific place on gangway platform 110, when adopting the structure of the first embodiment, be difficult to stably extract personage 113 secular variation and short term variations, but in a second embodiment, the sensor that is used for having adopted such being difficult to of laser radar to be subject to the exterior light impact is as sensor 203, so in the scope of a part that at least can be on gangway platform 110, personage 113 secular variation and the extraction of short term variations are replenished, so can improve the reliability of monitor unit integral body.
In addition, in a second embodiment, if adopt easy as the surveyed area 190 of Figure 15 of 203 pairs of high-precision sensors be rolled into the accident in the border of gangway platform 110 and pedal 112 particular place near detect, the secular variation of surveyed area 190 can be extracted effectively, the reliability of monitor unit integral body can be improved.In addition, if the sensor 203 that will detect surveyed area 190 is arranged to detect the sensor of distance, the occasion that can fall down as shown in Fig. 3 (b) personage 113 or the occasion that always stand in position shown in Fig. 7 (b) judge personage 113 movement.
The 3rd embodiment
Figure 16 represents the apparatus structure of the monitor unit that the third embodiment of the present invention is related.In Figure 16,381 expressions are arranged on the door on passage 383,382 expressions are arranged on the authenticate device on door 381,310 represent to be arranged on door 381 and near the monitor area of authenticate device 382, and 103 are illustrated near the pick up camera shooting monitor area 310 in its visual field, and 105 and 106 represent to be arranged on respectively control setup and the warning device on door 381 sides, 104 expression image processing apparatus, 107 expression monitoring devices, 108 expression transmitting devices, 109 expression recording apparatus.In Figure 16,113 are illustrated in the personage of walking on passage 383.
In Figure 16, door 381 is controlled the current of personage 113 by switching, and authenticate device 382 authenticates the personage by the authentication unit of the regulations such as card key and finger print identifying, and allows door 381 to open for the personage 113 who obtains the current license of authentication unit.The switching of control setup 105 control gates 381, warning device 106 have lamp or the loud speaker that can give a warning near the people monitor area 310.Each device of 104,107,108 and 109 have with the first embodiment shown in Figure 1 in the identical function of the device of identical numbering.In addition, in the 3rd embodiment, can also the sensor 203 that surveyed area 390 is detected be set the specific part in monitor area 310.
The interior personage who has been detained abnormal long time might be the current license that oneself does not obtain by door 381 at monitor area 310, wait for authenticate device 382 or door 381 actions or the personage's of current license arrival is arranged, thereby attempt is taken advantage of the personage with current license and is opened the moment of door 381 wrongly by door 381, so it should be identified as abnormal behaviour.In addition, when only having 1 people in monitor area 310 because on every side nobody can see this personage wrongful by door 381, so degree of risk is high.
therefore, in the 3rd embodiment, in the situation that sensor 203 is not set, adopt the functional structure of the first embodiment shown in Figure 1, and in the situation that be provided with sensor 203, adopt the functional structure of the second embodiment shown in Figure 13 to detect the interior delay of monitor area 310, and according to 0 people, the interior number of monitor area 310 is inferred in 1 people or 2 above these classification of people, and just give a warning when only only having 1 people to be detained in monitor area 310, the mode of perhaps giving high importance degree take the delay during as 1 people to the number in monitor area 310 is warned, can remind people to note when the delay of determining to have occured 1 people thus, also can effectively monitor from safety management and security personnel aspect.
Claims (13)
1. monitor unit is characterized in that having:
Image acquisition unit, it obtains near the input picture monitor area;
Number is inferred the unit, and it is processed the input picture from described image acquisition unit, and is beyond 1 people or 1 people according to the number that the detected object in monitor area is inferred in 0 people, 1 people or 2 these classification more than the people; And
Be detained the warning unit, it is warned to the outside when being defined as having occured the number of inferring in described monitor area and being 1 people's delay.
2. monitor unit is characterized in that having:
Image acquisition unit, it obtains near the input picture monitor area;
Be detained detecting unit, it uses the delay that detects the detected object in monitor area from the input picture of described image acquisition unit;
The motion track extraction unit, it extracts the motion track of detected object in described monitor area;
Number is inferred the unit, it uses from the delay information of described delay detecting unit and from the motion track information of described motion track extraction unit, and the number of inferring the detected object in described monitor area according to 0 people, 1 people or 2 these classification more than the people is beyond 1 people or 1 people; And
Be detained the warning unit, it is warned to the outside when being defined as having occured the number of inferring in described monitor area and being 1 people's delay.
3. monitor unit is characterized in that having:
Image acquisition unit, it obtains near the input picture monitor area;
Be detained detecting unit, it has for detection of the delay of the detected object in described monitor area: background preparing department, and it makes background image; The secular variation extraction unit, it extracts changing unit between described input picture and described background image as secular variation, and extracts from described secular variation and be detained place and delay period; The short term variations extraction unit, it extracts the part of the short term variations on image as short term variations described input picture more than moment from 2; And short term variations accumulation section, the time series of the described short term variations of its accumulation or the information that extracts from described short term variations;
The motion track extraction unit, it extracts motion track from the seasonal effect in time series accumulating information of the time series of described short term variations or the information that extracts from described short term variations;
Number is inferred the unit, it is according to generation period separately of described delay and described motion track and the place occurs, and the number of inferring the detected object in described monitor area according to 0 people, 1 people or 2 these classification more than the people is beyond 1 people or 1 people; And
Be detained the warning unit, it is warned to the outside when being defined as having occured the number of inferring in described monitor area and being 1 people's delay.
4. monitor unit as described in any one in claims 1 to 3, is characterized in that,
Have at least one of warning unit or control unit, wherein, described warning unit gives a warning at least a mode in picture output or voice output according to the output from described delay warning unit, and described control unit is controlled near the device described monitor area.
5. as claim 2 or 3 described monitor units, it is characterized in that,
In the situation that the motion track that described delay place do not detected outside described monitor area before described delay soon detected constantly, described number is inferred the unit number in described monitor area is estimated as 0 people, and the number of remaining situation is estimated as 1 people or 2 more than the people.
6. as claim 2 or 3 described monitor units, it is characterized in that,
the motion track in described delay place detected outside described monitor area before soon described delay being detected constantly, and in the situation that detect constantly in described monitor area described delay during the more than one described motion track that enters in described monitor area detected outside described monitor area, when perhaps the described motion track that enters into more than 2 in described monitor area having been detected before soon described delay being detected constantly outside described monitor area in described monitor area, described number is inferred the unit detected object in described monitor area is estimated as 2 more than the people, and the number of remaining situation is estimated as 0 people or 1 people.
7. monitor unit as claimed in claim 3, is characterized in that,
The information of extracting from described short term variations is the representative point of representative edge of the circumscribed rectangle of the join domain that extracts from described short term variations.
8. monitor unit as claimed in claim 3, is characterized in that,
Described short term variations extraction unit judges that according to the position of described short term variations or the information extracted the detected object that is extracted described short term variations is in described monitor area or outside described monitor area from described short term variations, when being judged as YES outside described monitor area, abandon corresponding described short term variations or the information of extracting from the described short term variations of correspondence.
9. monitor unit as claimed in claim 4, is characterized in that,
Described warning unit is according to the output from described delay warning unit, exports outside described monitor area the motion track in described delay place in the mode of picture.
10. as claim 2 or 3 described monitor units, it is characterized in that,
The described number section of inferring has the movement judging unit, when described delay has occured, described movement judging unit according to from described monitor area outside to motion track or the position of described motion track and described secular variation or the location information of circumscribed rectangle in delay place, judge the kind of movement of the detected object of delay.
11. monitor unit as described in any one in claims 1 to 3 is characterized in that,
Except described image acquisition unit, also has the sensor at least a portion that catches described monitor area that arranges separately, described number is inferred the unit and is used from the input picture of described image acquisition unit and from the area information of described sensor, infers the number of the detected object in described monitor area.
12. monitor unit as claimed in claim 3 is characterized in that,
except described image acquisition unit, also has the sensor at least a portion that catches described monitor area that arranges separately, described sensor extracts secular variation or the short term variations relevant with the interior detected object of described monitor area, and carry out at least one processing in following processing: be replaced into the processing of the secular variation of being made by described background preparing department, be replaced into the processing of the short term variations of being extracted by described short term variations extraction unit, the processing that the secular variation of being made by described background preparing department is replenished and the short term variations of being extracted by described short term variations extraction unit is replenished.
13. monitor unit as described in any one in claims 1 to 3 is characterized in that,
By the monitor area of setting described image acquisition unit in the gangway of escalator platform part, described escalator is monitored.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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JP2010148413A JP5473801B2 (en) | 2010-06-30 | 2010-06-30 | Monitoring device |
JP2010-148413 | 2010-06-30 |
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JP6100581B2 (en) * | 2013-03-29 | 2017-03-22 | 株式会社デンソーウェーブ | Monitoring device |
JP5613815B1 (en) * | 2013-10-29 | 2014-10-29 | パナソニック株式会社 | Residence status analysis apparatus, residence status analysis system, and residence status analysis method |
CN103815912B (en) * | 2014-01-26 | 2015-08-19 | 大连大学 | Old solitary people based on thermal infrared sensor array falls down behavior method of real-time |
JP5597781B1 (en) * | 2014-03-26 | 2014-10-01 | パナソニック株式会社 | Residence status analysis apparatus, residence status analysis system, and residence status analysis method |
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JP5788580B1 (en) * | 2014-09-12 | 2015-09-30 | 東芝エレベータ株式会社 | Passenger conveyor equipment |
CN107662867B (en) * | 2016-07-29 | 2021-03-30 | 奥的斯电梯公司 | Step roller monitoring and maintenance operator monitoring for passenger conveyors |
CN107018383A (en) * | 2017-05-10 | 2017-08-04 | 合肥慧图软件有限公司 | A kind of video frequency monitoring system being combined based on virtual reality with high accuracy positioning |
CN107277459A (en) * | 2017-07-29 | 2017-10-20 | 安徽博威康信息技术有限公司 | A kind of camera views switching method recognized based on characteristics of human body with target following |
JP6806118B2 (en) * | 2018-09-28 | 2021-01-06 | フジテック株式会社 | Escalator congestion detection system |
CN109250616B (en) * | 2018-09-28 | 2020-05-19 | 绍兴市特种设备检测院 | Escalator entrance and exit congestion detection system and method |
KR102215565B1 (en) * | 2019-02-12 | 2021-02-15 | 주식회사 핀텔 | Apparatus and method for detecting human behavior in escalator area |
JP7368092B2 (en) * | 2019-03-19 | 2023-10-24 | パナソニックホールディングス株式会社 | Accident detection device and accident detection method |
EP4246438A4 (en) * | 2020-11-12 | 2023-11-01 | Fujitsu Limited | Information processing device, generation method, and generation program |
TWI817311B (en) * | 2022-01-07 | 2023-10-01 | 宏碁股份有限公司 | Escalator equipment alert method and escalator equipment alert system |
CN114314285B (en) * | 2022-03-09 | 2022-07-29 | 深圳市来吉智能科技有限公司 | Mobile human face recognition body temperature detection device and method |
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JP2012014302A (en) | 2012-01-19 |
JP5473801B2 (en) | 2014-04-16 |
CN102311039A (en) | 2012-01-11 |
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